Data analytics - AI/Machine learning
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Hiring data scientist for our insurer client in Mumbai and Bangalore location
 
Role & Responsibilities
Apply machine learning techniques to deliver actionable insights from large-scale, multi-structured datasets.
Work unsupervised with internal and external teams to respond to business requirements.
End-to-end responsibility for model development, including data exploration, training data, feature extraction and model development, validation and scoring.
Convincingly communicate with our stakeholders at all levels, including pairing with other Data Scientists.
 
Skills & Capabilities Summary:
Machine Learning: Strong background in at least one specific machine learning area.
Coding: Excellent skills in at least one procedural language (for instance, but not limited to Python, R or similar). Comfortable with command-line tools. 
Real-life experience with the tools of the Hadoop ecosystem are a plus. 
Experience with large-scale model deployment is a plus.
Deep learning experience using one of the most popular frameworks is a plus.
Strong programming skills with at least one object oriented language (e.g. Java) and one scripting language (e.g. R, Python). Conversant with advanced machine learning techniques such as Boltzmann machine as well as neural networks design and implementation through tools like tensorflow or equivalent. 
Should have at-least 2 end-to-end ML projects experience. Starting from organizing and munging data, prototyping algorithms in scripting languages to deploying a solution in a stable platform like Java.
Database management systems and experience with handling data using SQL and ETL tools.
Experience in working with packages such as – Generalized linear models (Lasso, Ridge, Logit), Recommendation engines (SVD, ALS, Boltzmann machine in platforms such as  Mahout),Neural Networks (nnets, tensorflow),Optimization (heuristic models), Visualization techniques (t-sne, ggplot, matplotlib, shiny, D3js).
Exposure to massive data storage architectures – Map-Reduce/ Columnar Databases/ NoSQL/ RDD-Spark
Experience with distributed platforms such as Spark, Mahout, Hadoop is a plus
Exposure to Artificial Intelligence platforms such as thaneo is a plus
Experience with text mining/NLP would be desirable .
Exposure to massive data storage architectures – Map-Reduce/ Columnar Databases/  NoSQL/ RDD-Spark
Exposure to design of experiments
 
Experience :
Relevant Masters degree, PhD preferred.
At least 2+ years of real world experience working as a Data Scientist.
 

 
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